Lead Data Analytics Engineer Jobs

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data & Analytics Team Who You Are You're an experienced data scientist who gets excited about understanding how customers interact with a product – and using that understanding to help teams make smarter decisions. You're a trusted data storyteller: you can write a tight SQL query, design a rigorous experiment, and then turn those findings into a narrative that moves a roadmap. You believe that the best data science work accelerates learning, improves decision making, and ultimately drives measurable impact for customers and the business. Justworks is looking for a Senior Data Scientist to join our Product Analytics group within the Data & Analytics team. You'll partner across Product, Engineering, Design, Finance, Marketing, and Revenue to define success metrics, run experiments, size opportunities, and build a data-informed approach to how we grow and improve our product. Your Success Profile What You Will Work On Lead end-to-end analytics projects, from defining metrics to analyzing data and delivering insights Partner with product leaders to define and measure goal metrics Design and analyze A/B tests, quas

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues. Responsibilities Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows. Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services. Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm. Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis. Define observability best practices. Requirements Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure). Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm). Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying. Deep understanding of containerization (Docker) and orchestration (Kubernetes). Knowledge of microservices architectu

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Solution Engineer (Expansion Patch) As a Senior Solution Engineer, you will be a strategic technical leader for Snowflake’s existing enterprise customers in Singapore, with a primary focus on Financial Services (FSI) and Digital Native sectors. You will partner closely with Account Executives to drive adoption, workload expansion, and multi‑line-of-business growth across your accounts. You will act as a trusted advisor to senior technical and business stakeholders, guiding them on how to use Snowflake as the core of their data, analytics, and AI strategy. This is a field-facing, customer-first role that combines deep technical skills, strong industry context , and the ability to design and communicate high‑impact architectures. KEY RESPONSIBILITIES: Drive Adoption in Existing Accounts Own the technical expansion strategy for a portfolio of Snowflake customers in Singapore. Identify and map customer business objectives to workloads, use cases, and lines of business that will benefit from Snowflake AI Data Cloud. Solution Design, Demos & POCs Design and deliver compelling demos and technical narratives tailored to each customer’s architecture and use cases. Lead and execute POCs/Pilots that prove value and de‑risk platform decisions, including success criteria defi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Overview At Micron, we are committed to world-class performance and innovation. As a SR ENGINEER, MTB QE OPS, you will be essential in creating the initial quality defense for incoming materials. You will also drive quality management and support our ambitious projects. This is an outstanding chance to lead technological progress in the semiconductor industry! Key Responsibilities Set up the initial quality safeguard for incoming materials, including PSMC/TSMC wafers and UMC interposers. Lead excursion identification, containment, resolution, and supplier quality oversight to reduce yield, reliability, production, and customer risks. Assist HBM ramp, HBM4e, and IQP builds through active incoming quality assessment and supplier quality development. Work Schedule Regular day shift, Monday to Friday, 08:00 AM–05:00 PM. Candidate Qualifications At least 1 year of Semiconductor / Quality experience. Expertise in Incoming Material Quality, Supplier Quality, Excursion Management, and HBM/Wafer/Interposer quality governance. AI-Related Information Develop Generative AI and Agentic AI solutions for Quality operations. Build AI Assistants, knowledge management, intelligent search, and chatbot platforms. Leverage LLMs to improve engineering efficiency and decision-making. Integrate manufacturing, quality, and engineering data to enable intelligent analytics, Quality Digitalization, and

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Data Platform team builds the foundations for storing, moving, managing, and using data at scale—including storage, streaming, data lakes, analytics, and experimentation. As an Engineering Manager, you’ll lead a team developing reliable data services and the privacy and governance capabilities that help teams use data responsibly. What you’ll do Lead, coach, and grow engineers; support their development and career progression. Partner with Product, Design, Engineering, and senior leaders to set a clear quarterly roadmap and deliver it iteratively. Guide technical decisions and promote high-quality code, sound engineering practices, and reliable distributed systems. Stay close to the work through design and code reviews, incident leadership, on-call participation, and troubleshooting when needed. Own processes that improve engineering quality and help the team meet its service-level commitments. Partner with recruiting to attract and hire strong engineers. Required Skills and Experience: 7+ years of software engineering experience, ideally in data platform or infrastructure, including 2+ years in engineering management. Experience building, delivering, and operating distributed systems at scale. Strong engineering judgment and the ability to foster quality, maintainability, and effective development practices. An execution-focused approach: ab

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer-facing Solution Engineer who combines strong technical depth with executive presence and a passion for innovation. In this role, you’ll partner with Sales to guide customers from raw data to real AI impact — architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions across executive and technical audiences. Location: Candidate MUST be located in or near Atlanta. What You’ll Do Lead customer conversations on AI strategy and data modernization. Design and demonstrate scalable data and AI solutions using SQL and Python. Support enterprise Proof of Concepts from concept to value realization. Translate complex technical concepts into measurable business outcomes. Navigate objections and competitive dynamics in high-stakes sales cycles. Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery. What You Bring Strong SQL proficiency and experience with modern data warehousing. Experience using Python for analytics or ML workflows. Familiarity with AI/ML concepts, including Generative AI and LLMs. Exceptional communication skills across technical and executive audiences. Abi

JOB ROLE : SENIOR MANAGER, SOFTWARE ENGINEERING Location: Hyderabad, India (Hybrid) Department: Product Development ABOUT GHX GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the world's largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate processes, reduce costs, and increase operational efficiency. GHX continues to innovate with intelligent automation and AI-driven capabilities across its product portfolio. ABOUT THE ROLE GHX is seeking a Senior Engineering Manager to lead a multi-disciplinary engineering team that powers intelligent, AI-augmented automation across multiple product lines with document understanding — extracting structured meaning from unstructured documents and data — as one of its core technical problems. This team spans three areas: a platform engineering team (AI, DevOps, Infra, architecture, business continuity, security etc.), a set of product-line delivery teams (each building product-specific business logic, validation, and integrations), and a team building the Human-in-the-Loop (HiTL) application along with reporting/analytics capabilities. You will lead through team leads or senior engineers rather than running delivery for a single team directly. You will set technical direction for shared platform capabilities that every product-line team depends on, while ensuring each product line independently meets its own functionality, quality, and delivery commitments. You will work directly with business, product, and operations stakeholders across every product line this platform serves, and you will own end-to-end outcomes: people, technical direction, and customer impact across the full teams. RESPONSIBILITIES Organizational & Engineering Leadership: • Lead and develop a multi-disciplinary team spanning platform engineering, pro

Req ID: CSQ327R55 Location: UAE You will be based in the UAE and should be willing to relocate there or remain there. Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering , you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality st

The Team + The Role Pendo's People organization builds and supports the systems and processes that power the employee lifecycle. The team partners across People and Recruiting to ensure our HCM infrastructure runs smoothly and can scale with the company. As a Workday Systems Engineer, you'll own and evolve Workday as a core part of Pendo's HCM infrastructure. You'll manage configuration across key Workday modules, translate People and Recruiting requirements into scalable solutions, and maintain the reporting, security, integrations, and processes that keep the platform reliable. This role sits at the intersection of HR and technology, requiring a strong understanding of both People processes and the technical configuration behind them. This role is based in our Raleigh or New York City office. What this looks like day-to-day Workday platform ownership: Serve as the primary systems owner for Workday, managing configuration across HCM, Advanced Compensation, Time Tracking, and Time & Attendance. Maintain and evolve the platform as business needs change. People and Recruiting partnership: Partner directly with Recruiting and the broader People organization to understand business requirements and translate them into scalable Workday solutions. Balance stakeholder needs with sustainable system configuration. Open Enrollment: Lead or support annual Open Enrollment configuration, testing, and go-live activities. Help ensure Workday is configured and ready to support the enrollment process. Compensation cycles: Manage Workday setup for compensation cycles, including merit, bonus, and equity review processes. Support the configuration needed to run these programs effectively. System reliability and security: Troubleshoot Workday issues, manage security configurations, and maintain data integrity across integrations. Investigate problems and drive them through resolution. Reporting and analytics: Build and maintain reports, dashboards, and calculated fields that support

Here’s a summary of the role: Are you a Technical Writer or Content Engineer who enjoys working at the intersection of documentation, technology, automation, and AI? In this role, you’ll shape how complex SaaS product knowledge is created, structured, published, and consumed by both people and AI systems. You’ll own documentation strategy across key product areas while working closely with Product, Engineering, Design, Support, Customer Success, and other teams. You’ll bring experience in technical writing, docs-as-code, content architecture, structured authoring, CI/CD, content automation, LLMs, RAG, and AI-assisted workflows to build documentation that is accurate, discoverable, reusable, and ready for the next generation of AI-powered experiences. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Lead documentation strategy and execution across assigned SaaS product areas, ensuring content is clear, accurate, consistent, and customer-focused. Define and improve information architecture, content models, structured content, and documentation standards to make knowledge scalable and reusable. Build and maintain AI-ready content, including agent instructions, prompt libraries, reusable skills, and workflows that help AI systems find and use product knowledge effectively. Partner with Product, Engineering, Design, Support, Customer Success, Training, Implementation, and Marketing teams to embed documentation into the product development lifecycle. Build and improve automated documentation workflows covering content testing, validation, publishing, deployment, and quality assurance. Use customer feedback, analytics, and content performance data to continuously improve documentation quality, findability, freshness, and overall customer experience. These are the essentials you’ll need to get an interview: 7–10 years’ experience in technical writing, content engineering, or product documentation, ideally within a complex software/SaaS environ

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers with deep iOS or Android expertise and demonstrated experience contributing beyond mobile to frontend web or backend development. You’ll shape and build purchasing and subscription experiences across mobile applications, web, and supporting product APIs. The work spans improving conversion, performance, and reliability, building reusable components, and enabling new product launches. You’ll combine product judgment with technical depth to set direction, lead initiatives across teams, and remain hands-on through implementation and delivery. Approximately 50% of the work will initially be native mobile development, with the remainder across web and product APIs. We’re looking for engineers who enjoy working across the stack and have concrete examples of doing so professionally. Depth in either iOS or Android is required; experience in both is not required. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing and subscription experiences across native mobile, mobile web, and supporting product APIs. Partner with Product, Design, and Growth to identify customer needs, prioritize improvements, and shape technical direction for purchasing experiences. Improve conversion, performance, and reliability through experimentation, product analytics, and customer insights

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Lifecycle Lead to build the company-wide owned-channel capability that helps teams reach businesses with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the small and medium business lifecycle strategy, partner with Engineering to build the orchestration and deployment platform, and establish the operating model that allows teams across the company to launch and improve evergreen programs safely at scale. You will sit at the intersection of platform, product, and campaign strategy. You will partner with Engineering, Product, Data Science, and Analytics on the underlying systems, and with Product Marketing Managers and other client teams to design journeys that help new, active, and returning businesses reach value and build durable habits. This role is based in San Francisco, Seattle, or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner with B2B product to set the company-wide vision, roadmap, and operating model for lifecycle and owned-channel engagement. Partner with Engineering, Product, Data Science, and Analytics to shape the tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability. Define scalable deployment workflows—including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Consumer Authentication Platform team is looking for a passionate Senior Software Engineer to help build the secure, reliable, and seamless authentication experiences that connect millions of consumers with Affirm’s financial products. Authentication is the front door to Affirm. Our systems power critical consumer journeys (including sign-up, sign-in, account recovery, checkout authentication, step-up challenges, session management, and connected merchant experiences) across thousands of merchants and multiple countries. We build foundational capabilities such as authentication factors, identity federation, session and authorization services, and risk-based authentication that protect consumers while minimizing unnecessary friction. We work closely with Product, Security, Fraud, Identity, Analytics, Compliance, Data Science, and a wide range of engineering teams to both leverage existing systems and build new systems. This role requires a high level of technical capability, strong cross-functional communication, and a creative mindset. Our work needs to be secure, reliable, correct, scalable, and extensible. Our job is to build an authentication platform that balances security, regulatory requirements, fraud prevention, customer experience, and business growth. As a senior engineer, you will lead significant technical initiatives, influence the architecture and evolution of the platform, and help the team deliver secure authentication capabilities that can be reused across products, merchants, and geographies. What You’ll Do You will own the technical design and delivery of significant authentication platform capabilities, leading projects from early requirements and architecture through implementation, rollout, and ongoing operation. You will build secure, highly available systems that

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Metronome is a usage-based billing platform and a Stripe product. It helps modern software companies launch products faster, offer flexible pricing models, and streamline finance workflows. The Metronome Integration Engineering team sits at the intersection of sales, growth, product, and research and development. We own the technical aspects of the customer lifecycle after a sale and before the customer transitions to our post-implementation teams. What you'll do As an Integration Engineer, you’ll help customers implement Metronome successfully and realize value quickly. You’ll lead technical work across requirements gathering, solution and integration design, configuration, testing, data migration, launch, and handoff. Responsibilities Conduct discovery and scoping to understand customers’ challenges across billing, product launches, pricing and packaging, quote-to-cash, customer experience, and related areas. Support customers throughout the implementation lifecycle, including requirements gathering, technical design, integration design, testing, data migration, and launch. Provide expert guidance on usage-based pricing and consumption-based business models. Configure Metronome’s platform on behalf of customers. Design integrations between Metronome’s APIs and customers’ business systems—including CRM and CPQ platforms, payment and tax systems, ERP and billing providers, and reporting and analytics tools—in alignment with Metronome bes

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. Outbound Capabilities gives Aircall customers a first-class outbound calling experience. Users build campaigns from contact lists, the system dials automatically for agents (human or AI Voice Agent), and outcomes flow back to CRMs and analytics. The product is live with hundreds of companies and growing fast. In this role you own how it's built and how it runs. Set the technical direction of the team: architecture, standards, and the trade-offs between speed and quality Lead design and delivery of the